The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Apr. 05, 2022

Filed:

Aug. 15, 2019
Applicant:

CA Inc., New York, NY (US);

Inventors:

Aditya Kuppa, Dublin, IE;

Slawomir Grzonkowski, Dublin, IE;

Assignee:

CA, Inc., San Jose, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 29/06 (2006.01); G06N 20/00 (2019.01); G06K 9/62 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); G06K 9/6256 (2013.01); G06K 9/6267 (2013.01); G06N 20/00 (2019.01); H04L 63/145 (2013.01); H04L 63/1416 (2013.01); H04L 63/1458 (2013.01);
Abstract

Identifying and protecting against an attack against an anomaly detector machine learning classifier (ADMLC). In some embodiments, a method may include identifying training data points in a manifold space for an ADMLC, dividing the manifold space into multiple subspaces, merging each of the training data points into one of the multiple subspaces, training a subclassifier for each of the multiple subspaces to determine a decision boundary for each of the multiple subspaces between normal training data points and anomalous training data points, receiving an input data point into the ADMLC, determining whether the input data point is an attack on the ADMLC due to a threshold number of the subclassifiers classifying the input data point as an anomalous input data point, and, in response to identifying the attack against the ADMLC, protecting against the attack.


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